Cincinnati Open: Winner
A standalone Polymarket sports event with 51 markets and $32.2K in lifetime traded volume. 35 markets are trading. Marketlens records every market's order book at full depth, coverage running since August 16, 2026.
Data as of 2026-08-16
Top 5 markets by volume
Will Alexander Zverev Win the Cincinnati Open?
closes null · volume $7.6K · last price 26.0%
Will Rafael Jodar Win the Cincinnati Open?
closes null · volume $6.7K · last price 10.8%
Will Ben Shelton Win the Cincinnati Open?
closes null · volume $3.9K · last price 18.0%
Will Taylor Fritz Win the Cincinnati Open?
closes null · volume $1.3K · last price 12.4%
Will Jakub Mensik Win the Cincinnati Open?
closes null · volume $1.3K · last price 7.1%
Query this event
from marketlens import MarketLens
client = MarketLens()
[event] = client.events.list(q="Cincinnati Open: Winner", take=1)
for market in client.events.markets(event.id, take=5):
print(market.question, market.outcomes[0].last_price)
# the order book behind any market, at any past moment
book = client.orderbook.get(market.id, at="2026-08-16T12:00:00Z")
print(book.midpoint, book.bid_depth, book.ask_depth)Common questions
What data does Marketlens have for "Cincinnati Open: Winner"?
51 markets with full depth L2 order book history recorded since August 16, 2026, market metadata with lifetime traded volume, and the winning outcome for each market once it resolves.
How much has "Cincinnati Open: Winner" traded on Polymarket?
$32.2K in cumulative traded volume across the event's markets. Per market volumes are listed in the table on this page.
How do I download "Cincinnati Open: Winner" data?
Query it through the REST API or the Python SDK (pip install marketlens): search events for "Cincinnati Open: Winner", list the event's markets, then pull each market's order book history. Bulk Parquet exports cover full markets for offline work, and the free tier includes 5M rows per day.
Related events: F1 Drivers' Champion, Pro Football: 2027 Champion, MLB World Series Champion 2026, or the full event list.
Try it
Pull this event's books in one call
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens